Solo.io has launched agentevals – an open source project that lets teams “instrument, evaluate, and benchmark agentic AI behavior for quality and reliability across any model or framework.”
According to the announcement, key features include:
- Offline and online evaluation modes
- Zero-code and SDK-based integration
- Built-in evaluator catalog
- Community evaluator registry
- Multi-interface access
Additionally, teams can create “golden” eval sets to define “what good looks like for specific workflows.” Agentevals will then continuously test against those sets and alert when models are swapped, tools are added, or prompts change.
"The agentevals project is much more than a new tool or framework, it's a new category of agentic infrastructure built by and for the community to improve the reliability and trust of agentic workloads," says Idit Levine, Founder and CEO, Solo.io.
Learn more at Solo.io.
